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Data flow: OpenText Lens - Data Visibility ? OpenText Product Traceability
Use OpenText Lens to identify unstructured documents that contain product specifications, batch records, quality reports, supplier correspondence, or regulated content. Feed the identified content locations and sensitivity classifications into OpenText Product Traceability so product and quality teams can link supporting evidence to the correct product, lot, or shipment record. This improves audit readiness and reduces the time needed to assemble traceability evidence during investigations or recalls.
Data flow: OpenText Lens - Data Visibility ? OpenText Product Traceability
Before migrating product documentation into OpenText Product Traceability, use OpenText Lens to find duplicate, obsolete, or low-value files across shared drives, content repositories, and legacy systems. Only validated and relevant records are promoted into the traceability environment. This reduces migration volume, lowers storage costs, and prevents outdated documents from being associated with active products or lots.
Data flow: OpenText Lens - Data Visibility ? OpenText Product Traceability
OpenText Lens can scan repositories for missing or inconsistent supporting documents such as certificates of analysis, deviation reports, supplier declarations, or inspection images. Those findings can be used to flag gaps in OpenText Product Traceability where a product, batch, or shipment record lacks complete evidence. Operations and quality teams can then resolve missing documentation before release, shipment, or audit review.
Data flow: OpenText Product Traceability ? OpenText Lens - Data Visibility
When a recall or nonconformance is initiated in OpenText Product Traceability, the affected product identifiers, lot numbers, supplier names, and date ranges can be sent to OpenText Lens to search across unstructured repositories for related emails, test results, complaints, and corrective action files. This gives investigators a broader evidence set and helps them quickly determine scope, root cause, and impacted customers or facilities.
Data flow: Bi-directional
OpenText Product Traceability provides the structured chain of custody for products, while OpenText Lens validates that the supporting unstructured documents are complete, current, and properly classified. Together, they help compliance teams prepare for audits by linking traceability records to source documents and identifying missing or sensitive content that should be reviewed before submission. This shortens audit preparation cycles and reduces compliance risk.
Data flow: Bi-directional
Supplier-related documents discovered in OpenText Lens, such as contracts, certifications, inspection reports, and corrective action correspondence, can be associated with supplier and material records in OpenText Product Traceability. In the other direction, traceability events can trigger searches for supplier documentation when a material issue is detected. This supports faster supplier investigations, stronger vendor oversight, and better control over approved material usage.
Data flow: OpenText Product Traceability ? OpenText Lens - Data Visibility
As products move through their lifecycle, OpenText Product Traceability can identify records tied to discontinued products, expired lots, or closed investigations. OpenText Lens can then locate related unstructured content across repositories and apply retention, archival, or disposition rules based on business and regulatory requirements. This helps legal, records management, and quality teams reduce clutter while preserving required evidence.
Data flow: Bi-directional
Integrate product traceability events with Lens classification results to create a combined view of operational product risk and information risk. For example, a high-risk product lot in OpenText Product Traceability can be matched with sensitive or unapproved documents found by OpenText Lens, allowing quality, compliance, and operations teams to prioritize remediation. This improves decision-making and helps leadership focus on the products and documents with the greatest business impact.